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ctsfeatures
View on CRAN: Click
here
Download and install ctsfeatures package within the R console
Install from CRAN:
install.packages("ctsfeatures")
Install from Github:
library("remotes")
install_github("cran/ctsfeatures")
Install by package version:
library("remotes")
install_version("ctsfeatures", "1.2.2")
Attach the package and use:
library("ctsfeatures")
Maintained by
Angel Lopez-Oriona
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.ctsfeatures . ctsfeatures results . ctsfeatures.pdf . ctsfeatures_1.2.2.tar.gz . ctsfeatures_1.2.2.zip . ctsfeatures_1.2.2.zip . ctsfeatures_1.2.2.zip . ctsfeatures_1.2.2.tgz . ctsfeatures_1.2.2.tgz . ctsfeatures_1.2.2.tgz . ctsfeatures_1.2.2.tgz . ctsfeatures_1.2.2.tgz . ctsfeatures_1.2.2.tgz . ctsfeatures archive . https://CRAN.R-project.org/package=ctsfeatures .
First Published: 2023-02-20
Latest Update: 2024-01-29
Description:
An implementation of several functions for feature extraction in
categorical time series datasets. Specifically, some features related to
marginal distributions and serial dependence patterns can be computed. These
features can be used to feed clustering and classification algorithms for
categorical time series, among others. The package also includes some
interesting datasets containing biological sequences. Practitioners from a
broad variety of fields could benefit from the general framework provided
by 'ctsfeatures'.
How to cite:
Angel Lopez-Oriona (2023). ctsfeatures: Analyzing Categorical Time Series. R package version 1.2.2, https://cran.r-project.org/web/packages/ctsfeatures. Accessed 29 Mar. 2025.
Previous versions and publish date:
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Other R packages that ctsfeatures depends,
imports, suggests or enhances
Complete documentation for ctsfeatures
Functions, R codes and Examples using
the ctsfeatures R package
Some associated functions: GeneticSequences . ProteinSequences . SleepStages . SyntheticData1 . SyntheticData2 . SyntheticData3 . binarization . calculate_features . calculate_motifs . calculate_subfeatures . conditional_probabilities . joint_probabilities . marginal_probabilities . plot_ccc . plot_cohen . plot_cramer . plot_cts . plot_ifsct . plot_mcc . plot_ph . plot_reg . plot_se .
Some associated R codes: GeneticSequences.R . ProteinSequences.R . SleepStages.R . SyntheticData1.R . SyntheticData2.R . SyntheticData3.R . auxiliary_chebycheff_dispersion.R . auxiliary_cohens_kappa.R . auxiliary_cohens_kappa_function.R . auxiliary_correlation_i_j_k_function.R . auxiliary_cramers_vi.R . auxiliary_cramers_vi_function.R . auxiliary_entropy.R . auxiliary_gini_index.R . auxiliary_gk_lambda.R . auxiliary_gk_tau.R . auxiliary_list_to_matrix.R . auxiliary_motifs.R . auxiliary_p_i_j_k_function.R . auxiliary_pearson_measure.R . auxiliary_phi2_measure.R . auxiliary_sakoda_measure.R . auxiliary_spectral_envelope.R . auxiliary_total_correlation.R . auxiliary_total_mixed_correlation_1.R . auxiliary_total_mixed_correlation_2.R . auxiliary_uncertainty_coefficient.R . binarization.R . calculate_features.R . calculate_motifs.R . calculate_subfeatures.R . check_cts.R . conditional_probabilities.R . joint_probabilities.R . marginal_probabilities.R . plot_ccc.R . plot_cohen.R . plot_cramer.R . plot_cts.R . plot_ifsct.R . plot_mcc.R . plot_ph.R . plot_reg.R . plot_se.R . Full ctsfeatures package functions and examples
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